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Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

10 March 2016
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
    3DH
ArXiv (abs)PDFHTML

Papers citing "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images"

22 / 22 papers shown
Title
Contrastive Desensitization Learning for Cross Domain Face Forgery Detection
Contrastive Desensitization Learning for Cross Domain Face Forgery Detection
Lingyu Qiu
Ke Jiang
Xiaoyang Tan
CVBM
213
0
0
27 May 2025
Pluggable Style Representation Learning for Multi-Style Transfer
Pluggable Style Representation Learning for Multi-Style Transfer
Hongda Liu
Longguang Wang
Weijun Guan
Ye Zhang
Yulan Guo
143
1
0
26 Mar 2025
Coarse-to-Fine Structure-Aware Artistic Style Transfer
Coarse-to-Fine Structure-Aware Artistic Style Transfer
Kunxiao Liu
Guowu Yuan
Hao Wu
Wenhua Qian
131
0
0
08 Feb 2025
SGSST: Scaling Gaussian Splatting StyleTransfer
SGSST: Scaling Gaussian Splatting StyleTransfer
B. Galerne
Jianling Wang
Lara Raad
Jean-Michel Morel
3DGS
143
1
0
04 Dec 2024
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
Omar Zamzam
60
1
0
03 Oct 2024
On Synthetic Texture Datasets: Challenges, Creation, and Curation
On Synthetic Texture Datasets: Challenges, Creation, and Curation
Blaine Hoak
Patrick McDaniel
EGVM
127
0
0
16 Sep 2024
StyleShot: A Snapshot on Any Style
StyleShot: A Snapshot on Any Style
Junyao Gao
Yanchen Liu
Yanan Sun
Yinhao Tang
Yanhong Zeng
Kai Chen
Cairong Zhao
TTA3DHVLM
136
18
0
01 Jul 2024
A Content Transformation Block For Image Style Transfer
A Content Transformation Block For Image Style Transfer
Dmytro Kotovenko
A. Sanakoyeu
Pingchuan Ma
Sabine Lang
Bjorn Ommer
132
81
0
18 Mar 2020
Stable and Controllable Neural Texture Synthesis and Style Transfer
  Using Histogram Losses
Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses
E. Risser
Pierre Wilmot
Connelly Barnes
99
248
0
31 Jan 2017
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
258
14,012
0
19 Nov 2015
A Neural Algorithm of Artistic Style
A Neural Algorithm of Artistic Style
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
GAN
85
2,859
0
26 Aug 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
99
2,242
0
18 Jun 2015
Training generative neural networks via Maximum Mean Discrepancy
  optimization
Training generative neural networks via Maximum Mean Discrepancy optimization
Gintare Karolina Dziugaite
Daniel M. Roy
Zoubin Ghahramani
GAN
84
530
0
14 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OODGAN
110
847
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
126
1,962
0
26 Nov 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Alexey Dosovitskiy
Jost Tobias Springenberg
Maxim Tatarchenko
Thomas Brox
GAN
174
676
0
21 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
218
3,418
0
14 May 2014
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
231
2,363
0
15 May 2008
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